{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WTRRHFU44FGEWDN7SMEUATFLQL","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"d6188d1b7ae5f71a2d18aba5ca65c70c509d36f0c426e7e4e7ad4c7c06647d7d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-31T14:44:07Z","title_canon_sha256":"5d62b6b51d1357077b874255c242e0efa3696b119480f34ace8459d57b635814"},"schema_version":"1.0","source":{"id":"2509.00876","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.00876","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"arxiv_version","alias_value":"2509.00876v1","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.00876","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"pith_short_12","alias_value":"WTRRHFU44FGE","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"pith_short_16","alias_value":"WTRRHFU44FGEWDN7","created_at":"2026-07-05T12:02:24Z"},{"alias_kind":"pith_short_8","alias_value":"WTRRHFU4","created_at":"2026-07-05T12:02:24Z"}],"graph_snapshots":[{"event_id":"sha256:f3d9886e3560e3825c6b24463316215738e3d5c7abab26552346dbd4de8d28fc","target":"graph","created_at":"2026-07-05T12:02:24Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2509.00876/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Counterfactual explanations methods provide an important tool in the field of {interpretable machine learning}. Recent advances in this direction have focused on diffusion models to explain a deep classifier. However, these techniques have predominantly focused on problems in computer vision. In this paper, we focus on tabular data typical in finance and the social sciences and propose a novel guided reverse process for categorical features based on an approximation to the Gumbel-softmax distribution. Furthermore, we study the effect of the temperature $\\tau$ and derive a theoretical bound bet","authors_text":"Brian Barr, John Paisley, Wei Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-31T14:44:07Z","title":"Tabular Diffusion Counterfactual Explanations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.00876","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:3f5af49030aca6812c138f16ec479635dc213bcd124339f86ecbc42ed774f405","target":"record","created_at":"2026-07-05T12:02:24Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"d6188d1b7ae5f71a2d18aba5ca65c70c509d36f0c426e7e4e7ad4c7c06647d7d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-31T14:44:07Z","title_canon_sha256":"5d62b6b51d1357077b874255c242e0efa3696b119480f34ace8459d57b635814"},"schema_version":"1.0","source":{"id":"2509.00876","kind":"arxiv","version":1}},"canonical_sha256":"b4e313969ce14c4b0dbf9309404cab82f34877671c728f18da5905d8bee0ec32","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b4e313969ce14c4b0dbf9309404cab82f34877671c728f18da5905d8bee0ec32","first_computed_at":"2026-07-05T12:02:24.078541Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:24.078541Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7n5wrrCOSqFdPhFXwlli0SrJivPsVSfiyOQZkQql6pi89Gq+3iK1ba03VZaWSZqHeNJji71DBFQJs1/lQiecDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:24.079021Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.00876","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3f5af49030aca6812c138f16ec479635dc213bcd124339f86ecbc42ed774f405","sha256:f3d9886e3560e3825c6b24463316215738e3d5c7abab26552346dbd4de8d28fc"],"state_sha256":"7df9a590feea20e2b64eab3f43f7c5ca0071064e824e8240e3fe647a8d17aa35"}